Natural Language Processing

Overview

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Dive into the fundamentals of Natural Language Processing (NLP) with Python in this comprehensive tutorial series. Begin by setting up your environment and getting started, then learn to access various text resources for analysis. Explore the creation of visually appealing word clouds to represent textual data. Delve into WordNet, a lexical database for the English language, and understand its applications in NLP. Finally, master essential text preprocessing techniques like stemming and lemmatization to enhance your NLP projects.

Syllabus

Natural Language Processing in Python: Part 1 -- Installation and Getting Started.
Natural Language Processing in Python: Part 2 -- Accessing Text Resources.
Natural Language Processing in Python: Part 3 -- Generating Word Clouds.
Natural Language Processing in Python: Part 4 -- WordNet.
Natural Language Processing in Python: Part 5 -- Stemming and Lemmatization.